Quant

Monorepo for a small quantitative research platform: market-data ingestion, LPPL instability detection, a thin market-move adapter, and a moving-average backtester.

The working tree lives in Project/. Start there for architecture, setup, and how the pieces connect.

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Projects

Project	README
Platform overview	Project/README.md
Data pipeline	Project/Quant_pipeline/README.md
LPPL instability engine	Project/Instability_engine/readme.md
Market-move bridge	Project/Market_Move/README.md
Strategy backtester	Project/Quant_backtester/README.md

Yahoo Finance → Quant_pipeline → PostgreSQL → Instability_engine
                                              ├── Streamlit (app.py)
                                              ├── Market_Move
                                              └── CLI runners

Quant_backtester  ←  local prices.csv  (not wired to Postgres yet)

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Quick start

cd Project
docker compose up -d
pip install -r requirements.txt
streamlit run app.py

See Project/README.md for environment variables, ingest, and analysis commands.